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Paper ID:IJSREM62452

IOT based monitoring of quality in water

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM62452

Volume:

10 |

5 |

May 2026

Pages:

1-4

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM62452

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

NB

Nijuval B

Department of computer science

Nehru college of engineering and research center

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Jj

Jishon jacob

Department of computer science

Nehru college of engineering and research center

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Nkd

Nehal k das

Department of computer science

Nehru college of engineering and research center

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Ks

Khadeeja shabeer

Department of computer science

Nehru college of engineering and research center

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Mentors

Ma

Ms.Anjana ashokan

Department of computer science

Nehru college of engineering and research center

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Abstract

This paper presents an Internet of Things (IoT)-based system for monitoring water quality in real time. Traditional water testing methods are slow, costly, and do not provide continuous monitoring. The proposed system uses sensors to measure parameters such as pH, turbidity, temperature, and water level. An ESP32 microcontroller collects and processes the data and transmits it to the cloud using Wi-Fi. The system allows users to monitor water quality remotely through a web interface. It provides a low-cost, reliable, and efficient solution, reducing manual effort and enabling instant detection of unsafe water conditions.

KEYWORDS

Key Words: IoT Water Quality ESP32 pH Sensor Turbidity Real-time Monitoring.

Cite This Article

Nijuval B, Jishon jacob, Nehal k das, Khadeeja shabeer, Ms.Anjana ashokan, "IOT based monitoring of quality in water," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-4, May 2026. https://doi.org/10.55041/IJSREM62452

Full Article/Conclusion

The proposed Internet of Things (IoT)-based water quality monitoring system provides an efficient and reliable solution for continuous monitoring of essential water parameters such as pH, turbidity, temperature, and water level. Unlike traditional methods that rely on manual sampling and laboratory analysis, the system enables real-time data collection and remote monitoring, significantly reducing time, cost, and human effort. The integration of multiple sensors with the ESP32 microcontroller ensures accurate data acquisition and efficient processing. The use of Wi-Fi connectivity allows seamless transmission of data to a cloud platform, where it can be accessed and visualized through a user-friendly web interface. This enhances the accessibility of information and enables users to monitor water conditions from any location. The implementation of an alert mechanism further improves the effectiveness of the system by providing timely notifications when water quality parameters exceed safe limits. This helps in early detection of contamination and supports quick decision-making to prevent potential health and environmental risks. Overall, the system demonstrates the practical application of IoT in environmental monitoring and highlights its potential in improving water quality management. Its low cost, scalability, and ease of implementation make it suitable for a wide range of applications, including domestic, industrial, agricultural, and environmental monitoring systems. The proposed solution contributes toward ensuring safe and sustainable water resources for future use.

References

1.      Rasin, Z. and Abdullah, M.R. (2009) 'Water Quality Monitoring System Using Zigbee Based Wireless Sensor Network,' International Journal of Engineering & Technology, 9(10), pp. 14–18. 2.      Lambrou, T.P., Anastasiou, C.C., Panayiotou, C.G. and Polycarpou, M.M. (2014) 'A Low-Cost Sensor Network for Real-Time Monitoring and Contamination Detection in Drinking Water Distribution Systems,' IEEE Sensors Journal, 14(8), pp. 2765–2772. 3.      Vijayakumar, N. and Ramya, R. (2015) 'The Real Time Monitoring of Water Quality in IoT Environment,' International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), pp. 1–5. 4.      Adu-Manu, K.S., Tapparello, C., Heinzelman, W., Katsriku, F.A. and Abdulai, J.D. (2017) 'Water Quality Monitoring Using Wireless Sensor Networks: Current Trends and Future Research Directions,' ACM Transactions on Sensor Networks, 13(1), pp. 1–41.

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Publication Date

5/4/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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